1. Active Learning Lecture Slides
Chapter 15 Confidence Intervals
Active Learning Lecture Slides
For use with Classroom Response Systems

2. A confidence interval is a range of values for the parameter based on a sample from the population.
True
False

3. A confidence interval is a range of values for the parameter based on a sample from the population.
True
False

4. For a 95% confidence interval…
we are 95% confident that the sample statistic is in our interval.
there is a 95% chance that our interval contains the population parameter.
the sample statistic in 95% of samples lies within two standard errors of the population parameter.
95% of samples contain the population parameter.

5. For a 95% confidence interval…
we are 95% confident that the sample statistic is in our interval.
there is a 95% chance that our interval contains the population parameter.
the sample statistic in 95% of samples lies within two standard errors of the population parameter.
95% of samples contain the population parameter.

6. The larger the sample size grows…
the larger the standard error.
the smaller the standard error.
there is no effect on the standard error.
the larger the mean.

7. The larger the sample size grows…
the larger the standard error.
the smaller the standard error.
there is no effect on the standard error.
the larger the mean.

8. The smaller the standard error…
the narrower the confidence interval.
the wider the confidence interval.
there is no effect on the confidence interval.
the smaller the mean.

9. The smaller the standard error…
the narrower the confidence interval.
the wider the confidence interval.
there is no effect on the confidence interval.
the smaller the mean.

10. A t-distribution…
is the same as a standard normal distribution.
is narrower than a standard normal distribution.
is not bell shaped.
spreads its area farther from the center.

11. A t-distribution…
is the same as a standard normal distribution.
is narrower than a standard normal distribution.
is not bell shaped.
spreads its area farther from the center.

12. Which of the following is/are condition/s for a confidence interval for µ?
Sample is a SRS; if a finite population, sample comprises less than 10% of the population.
Sample size is 10 times the squared skewness and 10 times the absolute value of the kurtosis.
Sample is a stratified sample.
Both A. and B. above.

13. Which of the following is/are condition/s for a confidence interval for µ?
Sample is a SRS; if a finite population, sample comprises less than 10% of the population.
Sample size is 10 times the squared skewness and 10 times the absolute value of the kurtosis.
Sample is a stratified sample.
Both A. and B. above.

14. Which of the following factor(s) determine the margin of error?
Level of confidence
Variation of the data
Number of observation
All of the above

15. Which of the following factor(s) determine the margin of error?
Level of confidence
Variation of the data
Number of observation
All of the above

16. If we know the needed margin of error, we can estimate the necessary sample size.
True
False

17. If we know the needed margin of error, we can estimate the necessary sample size.
True
False